Apr 29, 2019 · Abstract:We consider the problem of trajectory planning in an environment comprised of a set of obstacles with uncertain locations.

We illustrate the approach with a case study from autonomous driving. I. INTRODUCTION. Trajectory planning in uncertain environments arises in several ...

Trajectory planning in uncertain environments arises in several autonomous system applications. One method to incorporate the environment's uncertainty into an ...

We consider the problem of trajectory planning in an environment comprised of a set of obstacles with uncertain locations. While previous approaches model ...

This paper proposes an innovative approach for constrained rendezvous trajectory optimization (CRTO) using stochastic optimal feedback control and unscented ...

Bibliographic details on Using Uncertainty Data in Chance-Constrained Trajectory Planning.

Jun 24, 2022 · Abstract: We tackle safe trajectory planning under Gaussian mixture model (GMM) uncertainty. Specifically, we use a GMM to model the ...

Mar 20, 2020 · It is therefore the aim of this paper to develop and implement a method to improve uncertainty modelling for data-driven chance-constrained ...

We present here a chance-constrained approach, which uses instead a prob- abilistic representation of uncertainty. The new approach plans the future ...

In this paper, we extend the state-of- the-art by presenting a methodology to upper-bound chance- constraints defined by polynomials and mixture models with.